A monotonic optimization approach for solving strictly quasiconvex multiobjective programming problems-Reference-Cited by-同舟云学术

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A monotonic optimization approach for solving strictly quasiconvex multiobjective programming problems

Published:2020-05-29 Issue:5 Volume:38 Page:6053-6063
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Thang Tran Ngoc¹,Solanki Vijender Kumar²,Dao Tuan Anh³,Thi Ngoc Anh Nguyen¹,Van Hai Pham⁴

Affiliation:

1. School of Applied Mathematics and Informatics, Hanoi University of Science and Technology, Hanoi, Vietnam

2. Department of Computer Science and Engineering, CMR Institute of Technology, Hyderabad, TS, India

3. Department of Information Technology, Uppsala University, Uppsala, Sweden

4. School of Information and Communication Technology, Hanoi University of Science and Technology, Hanoi, Vietnam

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference21 articles.

1. Avriel M. , Diewert W.E. , Schaible S. and Zang I. , Generalized Concavity, Plenum Press, New York, (1988).

2. Contractibility of the efficient set in strictly quasi-concave vector maximization;Benoist;Journal of Optimization Theory and Applications,2001

3. An outer approximation algorithm for generating all efficient extreme points in the outcome set of a multiple objective linear programming problem;Benson;Journal of Global Optimization,1998

4. On the global optimization of sums of linear fractional functions over a convex set;Benson;Journal of Optimization Theory and Applications,2004

5. A global optimization approach for generating efficient points for multiobjective concave fractional programs;Benson;Journal of Multi-Criteria Decision Analysis,2005

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